Reports people can use
Put useful figures in one place so the team can see what needs attention.
Know what happened. Decide what’s next.
Turn information from across your business into useful reports. Add AI so your team can ask questions in everyday language.
Discuss your projectYour team should be able to find out how a campaign performed, what sold last week or where an order is stuck. We build reports and tools that bring the right information together.
With AI, people can ask a question instead of building a report by hand. We make sure the answer shows where the information came from, how the numbers were counted and what the person is allowed to see.
What we can build.
Questions in everyday language
Let people ask about sales, offers or orders and get an answer with the figures behind it.
Clear numbers and access
Agree what each figure means and make sure people only see information they are allowed to use.
What makes an answer trustworthy?
People need to know where the information came from, what period it covers and how the figures were counted. For example, sales before refunds are different from sales after refunds.
We agree those definitions with your team. A useful report should let someone check the calculation and understand what the numbers do and do not show.
Can this work with our current reports?
Yes. We can add a clearer report, connect another source of information or put a question-and-answer tool alongside what you already use.
We first check which records are available, how often they change and who may see them. Those details matter more than how fluent an AI answer sounds.
How do we test the answers?
Your team provides questions and reports it already understands. We compare the new answers with those examples and check missing information, unusual cases and differences in wording.
After launch, we use real questions to improve the reports. A new figure or filter becomes a change the team can review and understand.
See an example.
See how the task could work. We build your version around your information, existing tools and the decisions your team wants to check.
A Retter demonstration. The sample request above is another example of what we could build together.
Related experience · Starbucks
One loyalty platform. Three countries. Millions of members.
One loyalty platform for 2M+ users across 3 countries — 750+ stores on AWS.
Read the Starbucks story- daily transactions
- 50K+
- lower cloud cost
- 65%
- faster development
- 10x
The Starbucks story illustrates the scale and integration of a Retter-built business platform. It is not an analytics accuracy benchmark or a measured AI reporting case study.
Start with your brief.
Build with our experience.
Tell us what you want people to be able to do. We agree what to build first, connect it to your other tools and help your team try it before launch. Then we stay to keep improving it.
How we build and launchQuestions about
reports & business answers.
Do we need to replace our reporting tools?
No. We can work alongside them, connect additional information or build a simpler way to get the answers your team needs.
Can everyone see every report?
No. We agree who can see which information and apply those permissions to the reports and AI answers.
Can you build reports without AI?
Yes. A clear report or a scheduled update may be all you need. AI is useful when it makes asking and following up on questions easier.